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07

Vector Search and Embeddings

07

Vector Search and Embeddings

magic_button Vector Search
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2 hours Intermediate

This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.

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info
Course Info
Objectives
  • Recognize the process, applications, and key technologies of vector search.
  • Describe embeddings and the LLM APIs used for embeddings.
  • Build a search engine by using Vertex AI Vector Search.
Prerequisites

None
Audience
AI developers Data scientists
Available languages
English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文 и Türkçe

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